enterprise deployment
Deploy workflow intelligence without a surveillance cloud.
Screenpipe should not begin as a giant fleet rollout. Start with a scoped pilot: one workflow, one owner, one deployment path, one report, and one decision about expansion.
Pick one workflow
Choose a repeated sequence with a clear owner: Excel to ERP, vendor bill matching, CRM updates, weekly ops reporting, or another measurable workflow.
Deploy 5-20 seats
Use the deployment path the company actually has: manual pilot, MDM/Intune, Endpoint Central, Microsoft groups, or a packaged installer.
Scope data flow
Decide local-only vs optional cloud AI, retention, employee controls, redaction, sync, exports, and admin visibility before broad rollout.
Produce the report
Review repeated actions, SOP draft, automation candidates, agent/eval spec, confidence, and privacy notes with the workflow owner.
deployment modes
Local-first does not mean one data path.
Screenpipe can run as a local-only personal assistant, a scoped team deployment, or an embedded capture engine. The important question for buyers is not a slogan; it is which data flow they approve.
Local-only
- What stays local
- Screen capture, accessibility text, OCR output, audio files, transcripts, and the local database.
- What may leave the device
- Nothing is required to leave the device for core capture and search.
- Buyer decision
- Best for self-serve use, regulated pilots, and proving value before any cloud path is enabled.
Local + optional cloud AI
- What stays local
- The raw capture store remains on the endpoint unless the user or organization enables export or sync.
- What may leave the device
- Selected prompts, summaries, or context snippets may be sent to the chosen AI provider or confidential route.
- Buyer decision
- Buyer chooses model, provider, retention posture, redaction, and whether local models are required.
Team / enterprise
- What stays local
- Endpoint capture and local history can stay on managed devices under admin policy.
- What may leave the device
- Team reports, sync, admin workflows, exports, connectors, and agent outputs depend on deployment scope.
- Buyer decision
- Buyer defines consent, retention, employee controls, report contents, and admin visibility.
SDK / OEM
- What stays local
- The embedding app defines the storage path, model path, and user-facing privacy controls.
- What may leave the device
- Data movement depends on the partner architecture and the contractually agreed processing path.
- Buyer decision
- Partner owns data-flow design, disclosures, user consent, and downstream model/provider choices.
point of view
Capture should produce decisions, not surveillance dashboards.
Screenpipe's enterprise lane is workflow intelligence for AI adoption: prove which work repeats, what can be automated, what an agent should attempt, and which data paths the buyer approves.
One workflow beats a fleet rollout
A buyer should not start by deploying capture to everyone. Pick one repeated workflow, one owner, one data path, and one expansion decision.
The useful data lives between systems
ERP, CRM, and ticketing logs miss the spreadsheet, tab, message, meeting, and judgment step. That is where the automation target usually hides.
Agents need traces, not vibes
A usable computer-use agent spec needs real inputs, expected outcomes, edge cases, failure modes, and a way to grade the result.
Privacy is part of the deliverable
A workflow report should say what was captured, excluded, redacted, retained, exported, and shared before the team expands deployment.
buyer checklist
What the pilot should settle before expansion.
Who owns deployment and support?
Which users and workflow are in scope?
Is capture local-only or connected to cloud AI?
What retention policy is acceptable?
What can admins see?
What gets redacted or excluded?
What is the success metric?
What paid trigger expands the rollout?